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CVPR
2004
IEEE
16 years 5 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
137
Voted
BTW
2005
Springer
118views Database» more  BTW 2005»
15 years 9 months ago
The MINERVA Project: Database Selection in the Context of P2P Search
: This paper presents the MINERVA project that protoypes a distributed search engine based on P2P techniques. MINERVA is layered on top of a Chord-style overlay network and uses a ...
Matthias Bender, Sebastian Michel, Gerhard Weikum,...
154
Voted
SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
13 years 6 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
107
Voted
CVPR
2006
IEEE
16 years 5 months ago
Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective fo...
Ankur Jain, Dan Kopell, Kyle Kakligian, Yuan-Fang ...
ICIP
2005
IEEE
16 years 5 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos